conv_v001¶
Nearest-neighbour interpolation.
Version 1 of HydPy-C performs simple nearest-neighbour interpolations between an arbitrary number of models (or data files) providing output and an arbitrary number of models requiring input.
Integration tests¶
Note
When new to HydPy, consider reading section How to understand integration tests? first.
We perform the following examples over a simulation period of 3 days:
>>> from hydpy import Element, Node, pub
>>> pub.timegrids = "2000-01-01", "2000-01-04", "1d"
conv_v001
implements no parameter with values depending on the simulation
step size, which is why we can pass anything (or nothing) to function
parameterstep()
without changing the following results:
>>> from hydpy.models.conv_v001 import *
>>> parameterstep()
Due to the following configuration, conv_v001
queries its input from the
inlet nodes in1 and in2 and passes the interpolation results to the
outlet nodes out1, out2, out3, and out4:
>>> in1, in2 = Node("in1"), Node("in2")
>>> element = Element("conv",
... inlets=(in1, in2),
... outlets=["out1", "out2", "out3", "out4"])
The following coordinate definitions contain the particular case of outlet node out4, being in the middle of inlet nodes in1 and in2 exactly:
>>> inputcoordinates(
... in1=(0.0, 3.0),
... in2=(2.0, -1.0))
>>> outputcoordinates(
... out1=(0.0, 3.0),
... out2=(3.0, -2.0),
... out3=(1.0, 2.0),
... out4=(1.0, 1.0))
In the first example, we perform a strict nearest-neighbour interpolation, where we always take only one input location into account, even in case of missing data:
>>> maxnmbinputs(1)
conv_v001
does not implement any state or log sequences and thus has
no memory at all, making finalising the test setup quite easy. We only
need to define time-series for both inlet nodes. Note that we set some
numpy
nan
values to demonstrate how conv_v001
deals with
missing values:
>>> element.model = model
>>> from hydpy.core.testtools import IntegrationTest
>>> test = IntegrationTest(element)
>>> test.dateformat = "%Y-%m-%d"
>>> with pub.options.checkseries(False):
... in1.sequences.sim.series = 1.0, 2.0, nan
... in2.sequences.sim.series = 4.0, nan, nan
The calculated results provide no supprises. However, outlet node
out4 receives the output of node in1 instead of the equidistant
node in2, which is due to their definition order when preparing
parameter InputCoordinates
above:
>>> test()
| date | inputs | outputs | in1 | in2 | out1 | out2 | out3 | out4 |
---------------------------------------------------------------------------------------------
| 2000-01-01 | 1.0 4.0 | 1.0 4.0 1.0 1.0 | 1.0 | 4.0 | 1.0 | 4.0 | 1.0 | 1.0 |
| 2000-01-02 | 2.0 nan | 2.0 nan 2.0 2.0 | 2.0 | nan | 2.0 | nan | 2.0 | 2.0 |
| 2000-01-03 | nan nan | nan nan nan nan | nan | nan | nan | nan | nan | nan |
For the last timestep, where no input values are available at all, there is nothing we can do. However, by using the second nearest location as an alternative, we at least achieve complete output for the second timestep:
>>> maxnmbinputs(2)
>>> test()
| date | inputs | outputs | in1 | in2 | out1 | out2 | out3 | out4 |
---------------------------------------------------------------------------------------------
| 2000-01-01 | 1.0 4.0 | 1.0 4.0 1.0 1.0 | 1.0 | 4.0 | 1.0 | 4.0 | 1.0 | 1.0 |
| 2000-01-02 | 2.0 nan | 2.0 2.0 2.0 2.0 | 2.0 | nan | 2.0 | 2.0 | 2.0 | 2.0 |
| 2000-01-03 | nan nan | nan nan nan nan | nan | nan | nan | nan | nan | nan |
- class hydpy.models.conv_v001.Model[source]¶
Bases:
Model
Version 1 of the Conv model.
- The following “inlet update methods” are called in the given sequence at the beginning of each simulation step:
Pick_Inputs_V1
Pick the input from all inlet nodes.
- The following “run methods” are called in the given sequence during each simulation step:
Calc_Outputs_V1
Perform a simple proximity-based interpolation.
- The following “outlet update methods” are called in the given sequence at the end of each simulation step:
Pass_Outputs_V1
Pass the output to all outlet nodes.
- class hydpy.models.conv_v001.ControlParameters(master: Parameters, cls_fastaccess: Type[FastAccessParameter] | None = None, cymodel: CyModelProtocol | None = None)¶
Bases:
SubParameters
Control parameters of model conv_v001.
- The following classes are selected:
InputCoordinates()
Coordinates of the inlet nodes [?].OutputCoordinates()
Coordinates of the outlet nodes [?].MaxNmbInputs()
The maximum number of input locations to be taken into account for interpolating the values of a specific output location [-].
- class hydpy.models.conv_v001.DerivedParameters(master: Parameters, cls_fastaccess: Type[FastAccessParameter] | None = None, cymodel: CyModelProtocol | None = None)¶
Bases:
SubParameters
Derived parameters of model conv_v001.
- The following classes are selected:
NmbInputs()
The number of inlet nodes [-]NmbOutputs()
The number of outlet nodes [-]Distances()
Distances of the inlet nodes to each outlet node [?].ProximityOrder()
Indices of the inlet nodes in the order of their proximity to each outlet node [-].
- class hydpy.models.conv_v001.FluxSequences(master: Sequences, cls_fastaccess: Type[TypeFastAccess_co] | None = None, cymodel: CyModelProtocol | None = None)¶
Bases:
FluxSequences
Flux sequences of model conv_v001.
- class hydpy.models.conv_v001.InletSequences(master: Sequences, cls_fastaccess: Type[TypeFastAccess_co] | None = None, cymodel: CyModelProtocol | None = None)¶
Bases:
InletSequences
Inlet sequences of model conv_v001.
- The following classes are selected:
Inputs()
Inputs [?].
- class hydpy.models.conv_v001.OutletSequences(master: Sequences, cls_fastaccess: Type[TypeFastAccess_co] | None = None, cymodel: CyModelProtocol | None = None)¶
Bases:
OutletSequences
Outlet sequences of model conv_v001.
- The following classes are selected:
Outputs()
Outputs [?].